Agentic AI · Web · API · Mobile · AI Agents

Agentic AI Testing Platform
Test Smarter, Ship Faster

Built on agentic AI, ContextQA automates testing with precision and adaptability. Ship faster without lowering your standards.

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SOC 2 Type II 99.9% uptime Trusted by 1,500+ teams

Trusted by leading engineering and QA teams

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Why ContextQA

Your Best New Teammate is an Intelligent QA System

ContextQA acts like a QA engineer that works around the clock and never misses a detail. Built on agentic AI, it understands your application, tests it intelligently, and improves with every release. Teams move faster without losing confidence in quality.

What's next

This is What the Future of QA Looks Like

Manual scripts, brittle automation, and reactive QA are over. The future of software testing with AI is powered by autonomous testing agents that learn, adapt, and deliver deterministic accuracy at scale.

Consistent Tests Mean No Surprises

Deterministic testing delivers the same reliable results every time. No more flakes or false alarms.

QA That Never Sleeps

Agentic AI is always testing and adapting, even when your team signs off.

Works With Your Favorite Tools

Keep workflows intact by easily connecting to GitHub, Jenkins, or any CI/CD stack.

Know the Why Behind Every Result

Every outcome comes with clear reasoning and full visibility into what happened and why.

Turn Test Data into QA Strategy

Dashboards use test results and performance trends for smarter decision-making.

For Enterprise

Enterprise App Testing

Enterprise App QA that keeps up with your release cycle.

Web Mobile API Database
01

AI-Generated Test Cases

Scanning checkout flow...

Point ContextQA at any flow and it writes a production-grade suite covering happy paths, edge cases, and failure states without a single line of manual scripting.

02

Tests that heal themselves

patch: heal selector drift in auth.spec #324
Healing
Fixes merged

Flaky tests are a productivity black hole. When selectors change and the DOM shifts, ContextQA patches broken locators on the fly. Your suite stays green without anyone babysitting it.

03

One suite, every pipeline

Test matrix · running in parallel main
Chrome 122
macOS 14
Safari 17
macOS 14
Edge 121
Windows 11
Firefox 124
Ubuntu 22
Safari
iPhone 15 · iOS 17
Chrome
Pixel 8 · Android 14
Pipeline green · merged to main

Chrome, Safari, mobile, staging, prod. Your tests run in parallel across every browser and device, and plug straight into your CI/CD pipeline, so every merge ships verified, without maintaining separate suites.

04

Test from Cursor, Claude Code, or Codex

Running test via MCP...

50 testing tools, available in plain English. Testers run suites without leaving their IDE. Developers inspect failures and fix bugs, all through the MCP, no context switching.

AI on autopilot

AI Agent Testing

Validate AI agents before your customers do.

Responses Guardrails Tool calls Regression Red teaming
01

AI-Generated Test Scenarios

Analyzing agent docs...

Upload your agent's docs or describe its behavior and ContextQA generates hundreds of adversarial and functional scenarios: hallucination traps, edge cases, multi-turn conversations, and policy violations you'd never think to write by hand.

02

No SDK. No code access. No problem.

Black-box test
Loading...·
Session complete

Your agent lives on Agentforce, Bedrock, Cortex, or another platform. You can't instrument the internals. You don't need to. ContextQA tests from the outside, the way your customers actually experience it.

03

AI-powered judging, deterministic proof

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AI Judgment
Deterministic Checks
Confidence 94%

When there's no single right answer, you need more than a string match. Every response is scored against configurable criteria using AI judgment and deterministic checks. You get a confidence score, not a gut feeling.

04

Continuous Regression Testing

Comparing model versions...

Every model upgrade is a regression risk. ContextQA re-runs your full scenario suite against each new version and surfaces behavioral drift before it ships.

Capabilities

The Complete AI Toolkit for Modern Testing

Each capability works in sync through agentic reasoning. AI agents test and repair with steady precision at scale.

FAQs

Our Customers Also Ask

Most AI testing platforms automate tasks, but ContextQA goes further. It uses agentic AI to understand your application, run intelligent tests, and adapt with every code change. Our autonomous agents deliver consistent, explainable results at scale.
ContextQA's agents read your application across its UI and APIs, generate test cases automatically, execute them across browsers and environments, and adapt those tests when the app changes. Your team reviews and approves while the agents handle creation and maintenance.
Yes. ContextQA pairs AI judgment with deterministic validation, so every result is reproducible. It is SOC 2 Type II compliant with 99.9% uptime and is trusted on production releases at scale.
Yes. ContextQA connects to GitHub, GitLab, Jenkins, CircleCI, and any CI/CD pipeline via REST API, CLI, or MCP. Runs trigger on commits, pull requests, or scheduled cadences.
No. Agents generate tests from your flows or plain-English descriptions and auto-heal them when the app changes, so engineers and QA review results instead of maintaining scripts.
Every run feeds the agents data on real user paths, flaky areas, and coverage gaps. ContextQA proposes new scenarios and expands the suite automatically, so coverage compounds over time.

QA That Finally Keeps Up With Your Code

Ready to build smarter QA? ContextQA tests as fast as you build, finding issues early and keeping every release steady and predictable.

Agentic AI Testing Platform - Test Smarter, Ship Faster

Built on agentic AI, ContextQA automates testing with precision and adaptability. Ship faster without lowering your standards.

ContextQA platform dashboard

Trusted by leading engineering and QA teams

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Your Best New Teammate is an Intelligent QA System

ContextQA acts like a QA engineer that works around the clock and never misses a detail. Built on agentic AI, it understands your application, tests it intelligently, and improves with every release. Teams move faster without losing confidence in quality.

Platform-10

This is What the Future of QA Looks Like

Manual scripts, brittle automation, and reactive QA are over. The future of software testing with AI is powered by autonomous testing agents that learn, adapt, and deliver deterministic accuracy at scale.

Platform contextai
Consistent Tests Mean No Surprises
Deterministic testing delivers the same reliable results every time. No more flakes or false alarms.
QA That Never Sleeps
Agentic AI is always testing and adapting, even when your team signs off.
Works With Your Favorite Tools
Keep workflows intact by easily connecting to GitHub, Jenkins, or any CI/CD stack.
Know the Why Behind Every Result
Every outcome comes with clear reasoning and full visibility into what happened and why.
Turn Test Data into QA Strategy
Dashboards use test results and performance trends for smarter decision-making.

The Complete AI Toolkit for Modern Testing

Each capability works in sync through agentic reasoning. AI agents test and repair with steady precision at scale.

AI Testing

Autonomous agents generate, evolve,
and execute tests in real time to expand coverage and cut manual scripting.

Root-Cause Analysis

Causal reasoning groups failures and explains why they happened, turning errors into clear insight.

Auto-Healing Tests

Self-learning agents repair broken tests as your application evolves, keeping automation stable.

Continuous Testing (CI/CD)

Integrates deterministic validation into every build and deployment for reliable releases.

Analytics & Insights

Live dashboards surface reliability trends and performance metrics that drive continuous improvement.

AI Prompt Engineering

Custom prompts shape how agents reason, test, and report for your systems without code.

QA That Finally Keeps Up With Your Code

Ready to build smarter QA? ContextQA tests as fast as you build, finding issues early and keeping every release steady and predictable.

FAQs

Our Customers Also Ask

What Makes ContextQA Different From Other AI Testing Platforms?

Most AI testing platforms automate tasks, but ContextQA goes further. It uses agentic AI to understand your application, run intelligent tests, and adapt with every code change. Our autonomous agents deliver consistent, explainable results at scale.

How Does AI Test Automation Work in ContextQA?

AI test automation in ContextQA runs through autonomous agents that create, execute, and repair tests in real time. These agents reason about failures, group-related issues, and keep testing stable without manual effort.

Is Software Testing With AI Reliable for Production Releases?

Yes. ContextQA uses deterministic testing and explainable reasoning to make software testing with AI predictable and repeatable. Every result comes with context, so you can release with confidence.

Can ContextQA Integrate With My Current DevOps Stack?

Absolutely. ContextQA connects easily to GitHub, Jenkins, GitLab, and other CI/CD tools. It fits into your workflow to deliver continuous AI test automation without disrupting development.

Does ContextQA Require Developers to Write or Maintain Tests?

No. ContextQA supports both low-code and no-code setups. Autonomous testing agents handle the heavy lifting. They create, run, and repair tests automatically as your application evolves.

How Does ContextQA Improve Test Coverage Over Time?

ContextQA learns your product with each release. Agentic reasoning helps it detect new behaviors, fill coverage gaps, and strengthen reliability with every run.